Principal / Sr. Principal Engineer Systems - Electromagnetic Environmental Effects (EEE)

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models, conducting experiments, and integrating these models into operational systems.

Responsibilities

• Develop and optimize machine learning models for autonomous systems.
• Conduct experiments to test model performance and reliability.
• Collaborate with cross-functional teams to integrate models into operational systems.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

Required skills include proficiency in Python, experience with TensorFlow/Keras, and knowledge of reinforcement learning.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum 3 years of relevant work experience in machine learning and/or AI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Skills

• Python programming
• TensorFlow/Keras
• Reinforcement Learning
• Machine Learning

Benefits

Competitive salary, comprehensive benefits package, professional development opportunities, and a dynamic work environment.

Pay

$80,000 - $100,000 annually.

Schedule

Full-time, Monday through Friday, 9 AM to 5 PM.